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KDD 2014 Tutorial and Workshop Proposals


KDD 2014 is a leading research conference on Knowledge Discovery, Data Mining, and Data Science. Submit Workshop proposals by Mar 7, Tutorial proposals by Mar 15.



KDD-2014KDD-2014, 20th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining


August 24-27, 2014, New York, NY, USA.

www.kdd.org/kdd2014

Welcome to KDD 2014, an interdisciplinary conference that brings together researchers and practitioners from all aspects of data mining, knowledge discovery, and large-scale data analytics.

KDD 2014 Workshop proposals due March 7

The ACM KDD 2014 organizing committee would like to invite proposals for workshops to be held in conjunction with the conference.

The goal of the workshops is to provide an informal forum to discuss important research questions and practical challenges in data mining and related areas.

Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged as workshop topics. Representation of alternative viewpoints and panel-style discussions are also particularly encouraged for all the workshops.

Possible workshop topics include all areas of data mining and knowledge discovery, machine learning, statistics, and data and information sciences, but are not limited to these. Interdisciplinary workshops with applications of data mining and data sciences to various disciplines (such as medicine, biology, sustainability, ecology, social sciences, humanities, or aerospace) are of high interest.

For more information, visit

www.kdd.org/kdd2014/calls.html#calls-call-for-workshops

KDD 2014 Tutorial Proposals due March 15

KDD-2014 will feature tutorials on topics of interests to the research community as well as industry practitioners. We invite proposals for tutorials from active researchers and experienced industry practitioners.

We seek tutorials covering the state-of-the-art research, cutting-edge industry development and applications, and practical tools in a data mining direction that stimulate and facilitate future work. Tutorials on interdisciplinary directions, novel and fast growing directions, and significant applications are highly encouraged.

We solicit proposals of tutorials of two types: (1) lecture style short courses about data mining technical research and development, and (2) hands-on style for practical skills and tools. Each tutorial should be about 3 hours in length.

To submit a tutorial proposal (due 3/15), visit:

www.kdd.org/kdd2014/calls.html#calls-call-for-tutorials

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